Cited By
View all- Gharebagh SRostami PNeshati M(2018)T-Shaped Mining: A Novel Approach to Talent Finding for Agile Software TeamsAdvances in Information Retrieval10.1007/978-3-319-76941-7_31(411-423)Online publication date: 1-Mar-2018
DDTA 2016: The Workshop on Data-Driven Talent Acquisition
Pages 2507 - 2508
Abstract
Expertise search is a well-established field in information retrieval. In recent years, the increasing availability of data enables accumulation of evidence of talent and expertise from a wide range of domains. The availability of big data significantly benefits employers and recruiters. By analyzing the massive amounts of structured and unstructured data, organizations may be able to find the exact skill sets and talent they need to grow their business. The aim of this workshop is to provide a forum for industry and academia to discuss the recent progress in talent search and management, and how the use of big data and data-driven decision making can advance talent acquisition and human resource management.
References
[1]
K. Balog, Y. Fang, M. de Rijke, P. Serdyukov, and L. Si. Expertise retrieval. Foundations and Trends in Information Retrieval, 6(2--3):127--256, 2012.
[2]
N. Craswell, A. P. de Vries, and I. Soboroff. Overview of the trec 2005 enterprise track. In Trec, volume 5, pages 199--205, 2005.
[3]
B. Fecheyr-Lippens, B. Schaninger, and K. Tanner. Power to the new people analytics. McKinsey Quarterly, 51(1):61--63, 2015.
Index Terms
- DDTA 2016: The Workshop on Data-Driven Talent Acquisition
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Information & Contributors
Information
Published In
October 2016
2566 pages
ISBN:9781450340731
DOI:10.1145/2983323
- General Chairs:
- Snehasis Mukhopadhyay,
- ChengXiang Zhai,
- Program Chairs:
- Elisa Bertino,
- Fabio Crestani,
- Javed Mostafa,
- Jie Tang,
- Luo Si,
- Xiaofang Zhou,
- Yi Chang,
- Yunyao Li,
- Parikshit Sondhi
Copyright © 2016 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 24 October 2016
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Conference
CIKM'16: ACM Conference on Information and Knowledge Management
October 24 - 28, 2016
Indiana, Indianapolis, USA
Acceptance Rates
CIKM '16 Paper Acceptance Rate 160 of 701 submissions, 23%;
Overall Acceptance Rate 1,861 of 8,427 submissions, 22%
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Cited By
View all- Gharebagh SRostami PNeshati M(2018)T-Shaped Mining: A Novel Approach to Talent Finding for Agile Software TeamsAdvances in Information Retrieval10.1007/978-3-319-76941-7_31(411-423)Online publication date: 1-Mar-2018
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